With EPSherpa at your side, you can leverage the full potential of your renewable energy system and achieve comprehensive transparency. On your path to climate neutrality, rely on the AI-supported complete solution consisting of hardware and software from Energy Partners and optimize and flexibilize your energy flows based on forecasts.

The energy transition has never been so simple and smart at the same time.

The advantages of our EPSherpa energy management system

  • Hardware and software from a single source
  • Efficient use of green and cost-effective solar power
  • Improving the energy flows of all assets
  • Ensuring security of supply
  • Intelligent control to solve complex tasks
  • Forecast-based adaptation to general conditions and user behaviour
  • Overview of the electricity generated by the photovoltaic system
  • Overview of the electricity consumption of relevant consumption units
  • Increased comfort and improved energy balance
  • Simple operability
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EPSherpa Presentation

All components of the EPSherpa energy management system

Energy management Charging
Static load management
  • Distribution of a specified maximum power to the charging points
  • The charging points are regulated independently of the capacity available at the grid connection
Dynamic load management
  • Continuous adjustment (staggering or throttling) of the available charging power to the building consumption and the upper limit at the grid connection
  • Avoidance of overloading the existing building connection or costly peak loads
Cascade option (bad point control)
  • Avoidance of exceeding the maximum load at bottlenecks within sub-grids in a complex system
VIP option
  • Preferential charging from selected charging points or RFID cards
  • Supply the VIP objects with the highest possible charging power while simultaneously down-regulating the other objects
PV-optimised charging
  • Coordination of the charging processes with the current and forecast electricity generation nfrom your own PV system
  • Carry out charging cycles preferably at times when self-generated electricity is available
Grid- or power exchange-optimised charging
  • Cost-optimised procurement of the electricity required for the charging processes by taking grid charges and electricity prices into account when creating the charging schedule
  • Charging the vehicles with the help of the time-variable tariff in favourable time windows with full power
  • Avoidance of peak loads by combining with a battery storage system
Energy management battery storage
Multi-Use case approach
  • Combination and prioritisation of three use cases to make optimum use of storage capacity
  • Creation of a forecast-based, cost-optimised schedule for the battery's own storage management system
  • Continuous monitoring of use cases to adjust parameters and prioritise as required
Peak Shaving
  • Use of storage capacity to minimise the maximum grid load
  • Reduction in the power price costs of the grid charges
  • Possibility of flexible allocation of storage resources through forecast-based capacity provision
PV self-consumption optimisation
  • Calculation of the prospective storage capacity to be provided per quarter of an hour based on measured generation values and forecasts
  • Maximising self-consumption of PV electricity and minimising residual electricity demand
Spot market optimisation (dynamic electricity tariff)
  • Exchange price-optimised procurement of residual electricity with the help of a flex tariff
  • Fully automated, cost-effective procurement of the residual load profile by trading the available storage flexibility on all short-term electricity markets
Energy management monitoring
Monitoring Programm
  • Possibility of professional monitoring of the entire site (PV system, charging infrastructure, battery storage, residual consumption, heat pumps or cooling systems) via the monitoring portal
  • Processing and provision of internally measured energy data and external data sources (e.g. metering point operators)
  • Visualisation of any number of data points in the portal and provision of CSV exports for evaluation and further calculation of the data in other programs